In this paper, we address the problem of 3D articulated multi-person tracking in busy street scenes from a moving, human-level observer. In order to handle the complexity of multi-...
Stephan Gammeter, Andreas Ess, Tobias Jaeggli, Kon...
We propose a graph-based semi-supervised symmetric matching framework that performs dense matching between two uncalibrated wide-baseline images by exploiting the results of sparse...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...
Driven by continuing scaling of Moore's law, chip multiprocessors and systems-on-a-chip are expected to grow the core count from dozens today to hundreds in the near future. ...
Boris Grot, Joel Hestness, Stephen W. Keckler, Onu...
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
In this paper we present work toward a new method of evaluation for Reality-Based Interaction Styles that we call Cognitive Description and Evaluation of Interaction (CoDeIn). Thi...